Information Retrieval: A Survey

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e5AAuxk*zv;w0Information Retrieval: A Survey
,WF%oTa K030 November 2000自然语言处理与信息检索共享平台#P5~+WL0u3u.M!mm
by
f3|,T3Q%f \0Ed Greengrass
z T?C8fM6Jr0Abstract自然语言处理与信息检索共享平台&_9M'yRZ.|
Information Retrieval (IR) is the discipline that deals with retrieval of unstructured
9R!p"\/_.no(X6a o0data, especially textual documents, in response to a query or topic statement, which
(m1DtWn0may itself be unstructured, e.g., a sentence or even another document, or which may
B~ f|)mZG0be structured, e.g., a boolean expression. The need for effective methods of automated
rhd,H6e3|:I'O0IR has grown in importance because of the tremendous explosion in the
3A@5nA|,msxfm0amount of unstructured data, both internal, corporate document collections, and the
gk UD E(K0immense and growing number of document sources on the Internet. This report is a自然语言处理与信息检索共享平台$D7uGT1}`7`o
tutorial and survey of the state of the art, both research and commercial, in this
F1I1dB&e|0dynamic field. The topics covered include: formulation of structured and unstructured自然语言处理与信息检索共享平台&Z5GG |c:Fm)Gk
queries and topic statements, indexing (including term weighting) of document自然语言处理与信息检索共享平台#b2FQ uH/n%XF
collections, methods for computing the similarity of queries and documents,
4q0O6t9nks t(q0classification and routing of documents in an incoming stream to users on the basis自然语言处理与信息检索共享平台;eul;OJn2gb$`G+{c Z}
of topic or need statements, clustering of document collections on the basis of language
E5B:E~ z ~k0or topic, and statistical, probabilistic, and semantic methods of analyzing and
i!j?~U/HjSw,F0retrieving documents.自然语言处理与信息检索共享平台f6Jh9[I7L(h4c

自然语言处理与信息检索共享平台hq0s7k/Q5K9^S

information-retrieval-a-survey.pdf(1.07 MB)

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